Data scientist bei Universitätsklinikum Heidelberg

Data scientist (m/f/d) bei Universitätsklinikum Heidelberg

Universitätsklinikum Heidelberg

wanted from March 2024 at the Department of Infectious Dieseases and Tropical Medicine.

Who we are: The Department of Infectious Disease and Tropical Medicine at Heidelberg University Hospital has a clinical and research mandate. We are embedded in a university campus with a strong interdisciplinary health research focus (incl. the Heidelberg Institute for Global Health). We are a diverse and interdisciplinary team of people from around the globe, all passionate about Global health, focusing on applying various methods with the goal to develop, validate and implement novel diagnostic tests that reach people and get them to the right therapy (For further info on the team and research: www.denkglobaldx.org).

We need your expertise, passion and drive to support the team. The position is limited to 2 years with the intention to acquire additional grant funding to make it longer term. The position will be based in Heidelberg, Germany; partial remote work will be possible.

Job-ID:

V000012041

Field of application:

Sektion Infektions- und Tropenmedizin

Location:

Heidelberg

Start date:

March 2024

Job Category:

Science and teaching

Working hours:

full-time (100%)

Published:

13.11.2023

Limitation:

Temporary (24 months - extension is sought)

Contract:

TV-L

Your Tasks

As a Data scientist, you will contribute to several ongoing projects in the team which require advanced data analysis. You will also be expected to lead methodologically on projects that focus on data analysis to develop new diagnostic prediction tools. There will be opportunities to develop your own ideas on projects and apply for funding.

Job responsibilities will include:

Analyzing large data sets and developing prediction tools based on traditional structured database tools and “big data” approaches with a special focus on Bayesian analysis
Designing, conducting, and interpreting statistical analysis, including analysis of clinical trial data;
Engaging with project collaborators, stakeholders and international organizations (incl. WHO) in large international projects
Writing of manuscripts for publication and preparing scientific/project presentations (incl. travel for presentations)
Supporting/leading grant development activities

Your Profil

Master or PhD degree in (Bio-)Statistics, Mathematics, Computer science, Epidemiology, or a related field
Minimum 2 years of experience in data analyses using frequentist and Bayesian approaches. Experience in machine learning techniques would be an asset
Proficiency in coding and analysis using R, SAS, python, STATA or similar applications; ability to provide custom-designed reports and presentations of data
Experience in implementing and evaluating data management systems
Ability to work independently and on a result-oriented basis. Willingness to expand knowledge base and take on new topics. Effective communication.

What we offer

Possibility of mobile working and flexible working hours within the framework of flexitime
Possibility of doctorate
Possibility to publish scientifically is offered and supported
Regular team meetings and interdisciplinary cooperation
Possibility to take over project responsibility
Collectively agreed remuneration, attractive company pension scheme (VBL)
30 days vacation
Sustainable travel: job ticket
Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care
Wide range of health, prevention and sports offers